Add scout report with three implementation briefs#2
Add scout report with three implementation briefs#2khushalkottaru wants to merge 4 commits intomasterfrom
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Added `scout_report.md` identifying three low-effort upstream issues suitable for a new contributor with a physics and statistics background. The report includes implementation briefs for an environment plotting bug, parachute shock force estimation, and custom exception handling. Co-authored-by: khushalkottaru <216251097+khushalkottaru@users.noreply.github.com>
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📝 WalkthroughWalkthroughA Scout Report documentation file has been added that outlines three proposed issues: a wind heading profile plotting bug involving 359°/0° wrapping, a parachute opening shock force estimation enhancement, and a custom exception handling enhancement. These serve as a planning blueprint for future implementation across multiple modules. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Poem
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📝 Coding Plan
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Actionable comments posted: 1
🧹 Nitpick comments (4)
scout_report.md (4)
4-5: Remove or update the instructional placeholder text.Since Issue 1 has already been selected, the instructional text on line 5 is now redundant and could confuse readers about whether the selection is finalized.
📝 Suggested cleanup
## ✅ SELECTED ISSUE: 1 -*(Fill in 1, 2, or 3 after reviewing the briefs below)*🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scout_report.md` around lines 4 - 5, Remove the redundant instructional placeholder text beneath the "## ✅ SELECTED ISSUE: 1" heading in scout_report.md by deleting or replacing the line that reads "*(Fill in 1, 2, or 3 after reviewing the briefs below)*" so the document clearly reflects that Issue 1 has been selected; ensure the heading remains and any surrounding formatting is preserved.
30-30: Minor style: Consider simplifying "outside of" to "outside".The phrase "outside of" can be simplified to just "outside" for more concise writing, as flagged by the static analysis tool.
📝 Suggested simplification
-Do not change the underlying physics computations or the mathematical definition of wind heading used in the simulation. This should strictly be a visualization/plotting fix. Do not introduce heavy dependencies outside of the existing scientific Python stack (numpy, matplotlib). +Do not change the underlying physics computations or the mathematical definition of wind heading used in the simulation. This should strictly be a visualization/plotting fix. Do not introduce heavy dependencies outside the existing scientific Python stack (numpy, matplotlib).🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scout_report.md` at line 30, Replace the phrase "outside of the existing scientific Python stack (numpy, matplotlib)" with the simplified wording "outside the existing scientific Python stack (numpy, matplotlib)" in the document; locate the exact string "outside of the existing scientific Python stack (numpy, matplotlib)" in scout_report.md and update it to the shorter form.
77-79: Clarify the recommended validation point for static margin checks.The implementation approach mentions checking "during rocket assembly or when static margin is accessed," but this is somewhat ambiguous given the guardrail on line 88 about temporary negative values during construction. Consider specifying a more concrete validation point, such as "when
Flightis initialized" or "when a final validation method is explicitly called," to guide implementers toward the right pattern.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scout_report.md` around lines 77 - 79, Specify that the static margin validation should occur after the rocket is fully assembled by performing the check when a Flight object is created (e.g., in Flight.__init__) or when an explicit final validation method (e.g., Rocket.validate_final_state or Flight.validate_configuration) is invoked; implement a new exception class NegativeStaticMarginError in exceptions.py and have Rocket.static_margin or the chosen validation method raise NegativeStaticMarginError with a clear, descriptive message if static_margin < 0 explaining to check center of mass vs center of pressure and any likely causes.
47-49: Consider documenting the source for the opening shock coefficient and formula.The implementation brief references the "Knacke formula" and suggests default coefficient values of 1.5-1.6, but doesn't cite the source. For an engineering calculation that will be used to size safety-critical recovery hardware, consider adding a reference to the original Knacke publication or the upstream issue discussion where this formula was validated. This will help future implementers verify the correctness of the approach.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@scout_report.md` around lines 47 - 49, The comment requests adding documentation/citation for the Knacke formula used to compute opening shock: update Parachute.__init__ to accept opening_shock_coefficient (stored as self.opening_shock_coefficient) and implement calculate_opening_shock(self, density, velocity) computing F_o = self.opening_shock_coefficient * (0.5 * density * velocity**2) * self.cd_s, and then add a clear inline docstring or module-level comment for the Parachute class (or for calculate_opening_shock) that cites the original Knacke publication or the upstream issue/discussion validating the coefficient (include title, author, year and a URL or issue link) so future engineers can verify the source.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@scout_report.md`:
- Line 20: Update the guidance about unwrapping wind heading arrays to note
NumPy version compatibility: explain that numpy.unwrap(angles, period=360)
requires NumPy >= 1.21.0 and will fail on NumPy 1.13–1.20, and provide the
backwards-compatible alternative using radians conversion (np.deg2rad →
numpy.unwrap → np.rad2deg) as the recommended approach for RocketPy users;
mention numpy.unwrap and np.deg2rad/np.rad2deg by name so readers can locate the
functions.
---
Nitpick comments:
In `@scout_report.md`:
- Around line 4-5: Remove the redundant instructional placeholder text beneath
the "## ✅ SELECTED ISSUE: 1" heading in scout_report.md by deleting or replacing
the line that reads "*(Fill in 1, 2, or 3 after reviewing the briefs below)*" so
the document clearly reflects that Issue 1 has been selected; ensure the heading
remains and any surrounding formatting is preserved.
- Line 30: Replace the phrase "outside of the existing scientific Python stack
(numpy, matplotlib)" with the simplified wording "outside the existing
scientific Python stack (numpy, matplotlib)" in the document; locate the exact
string "outside of the existing scientific Python stack (numpy, matplotlib)" in
scout_report.md and update it to the shorter form.
- Around line 77-79: Specify that the static margin validation should occur
after the rocket is fully assembled by performing the check when a Flight object
is created (e.g., in Flight.__init__) or when an explicit final validation
method (e.g., Rocket.validate_final_state or Flight.validate_configuration) is
invoked; implement a new exception class NegativeStaticMarginError in
exceptions.py and have Rocket.static_margin or the chosen validation method
raise NegativeStaticMarginError with a clear, descriptive message if
static_margin < 0 explaining to check center of mass vs center of pressure and
any likely causes.
- Around line 47-49: The comment requests adding documentation/citation for the
Knacke formula used to compute opening shock: update Parachute.__init__ to
accept opening_shock_coefficient (stored as self.opening_shock_coefficient) and
implement calculate_opening_shock(self, density, velocity) computing F_o =
self.opening_shock_coefficient * (0.5 * density * velocity**2) * self.cd_s, and
then add a clear inline docstring or module-level comment for the Parachute
class (or for calculate_opening_shock) that cites the original Knacke
publication or the upstream issue/discussion validating the coefficient (include
title, author, year and a URL or issue link) so future engineers can verify the
source.
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| ### Implementation approach | ||
| 1. Locate the function responsible for plotting the wind heading (often associated with `Environment.wind_heading` plotting or `EnvironmentAnalysis.wind_heading_profile_grid`). | ||
| 2. Before passing the wind heading arrays to matplotlib, apply `numpy.unwrap` to the data. Note: `numpy.unwrap` expects angles in radians, so convert to radians using `np.deg2rad(angles)`, unwrap, and then convert back with `np.rad2deg(unwrapped_angles)`. Alternatively, use `numpy.unwrap(angles, period=360)`. |
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🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Description: Check RocketPy's NumPy version requirements
# Search for NumPy version constraints in dependency files
fd -e txt -e toml -e cfg -e ini -e yaml -e yml | xargs rg -l "numpy" | xargs catRepository: khushalkottaru/RocketPy
Length of output: 1794
🌐 Web query:
RocketPy NumPy version requirement minimum
💡 Result:
RocketPy’s current dependency file (requirements.txt, used by pyproject.toml for RocketPy 1.11.0) specifies NumPy >= 1.13 as the minimum required version. [1][2]
🌐 Web query:
numpy.unwrap period parameter documentation
💡 Result:
In numpy.unwrap(p, discont=None, axis=-1, *, period=2*pi), the period parameter is the size of the range over which the input values wrap (i.e., the wrap interval). By default it’s 2π (radians), but you can set it to any wrap size (e.g., 360 for degrees, 4 for values wrapping mod 4). The unwrapping logic treats jumps larger than max(discont, period/2) as wrap discontinuities and corrects them by adding/subtracting integer multiples of period. period was added in NumPy 1.21.0. [1]
Example from the docs:
np.unwrap([0, 1, 2, -1, 0], period=4)→array([0, 1, 2, 3, 4])[1]
Source: NumPy unwrap reference docs. [1]
Update documentation to account for NumPy version compatibility.
The recommended approach numpy.unwrap(angles, period=360) requires NumPy >= 1.21.0, but RocketPy's minimum supported version is NumPy >= 1.13. Users with NumPy 1.13–1.20 will encounter an error. Either recommend the radians conversion approach (np.deg2rad → unwrap → np.rad2deg) for universal compatibility, or add a note that this approach requires NumPy >= 1.21.0.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@scout_report.md` at line 20, Update the guidance about unwrapping wind
heading arrays to note NumPy version compatibility: explain that
numpy.unwrap(angles, period=360) requires NumPy >= 1.21.0 and will fail on NumPy
1.13–1.20, and provide the backwards-compatible alternative using radians
conversion (np.deg2rad → numpy.unwrap → np.rad2deg) as the recommended approach
for RocketPy users; mention numpy.unwrap and np.deg2rad/np.rad2deg by name so
readers can locate the functions.
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Scouted the upstream RocketPy repository for contribution opportunities fitting a high school student with strong Python, math, and physics skills.
Created
scout_report.mddetailing implementation briefs for three suitablegood first issue+Effort-lowissues (or equivalent open issues matching the profile). The selected issues prioritize utility and physics-based implementations while avoiding deep domain-specific requirements. The report includes step-by-step implementation plans, files to touch, and acceptance criteria for an AI coding agent or human contributor to execute.PR created automatically by Jules for task 798022869806447949 started by @khushalkottaru
Summary by CodeRabbit
Documentation